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Data Product Partner

Job in London, Greater London, W1B, England, UK
Listing for: Perk
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
  • Business
    Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below

About Us

Perk (formerly Travel Perk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we’re on a mission to power real work, with real impact.

We’re trusted by more than 10,000 companies worldwide, including Wise, On Running, Breitling, and Fabletics, and we’re tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem.

Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work.

At Perk, we’re driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries. If you’re excited about having a real impact and shaping how millions of people experience work, we’d love you on the team.

Visit  to learn more.

The Opportunity

We are building a new team of Data Product Partners to bridge the gap between business needs and complex data systems, ensuring our data assets are trustworthy, discoverable, impactful and truly solve user problems.

As a Data Product Partner (DPP), you will be the driving force behind the impact of our data team with the Perk business. You will move fluently between business and data worlds, making critical decisions rooted in both user needs and technical reality. Your goal is to move beyond simply providing solutions to proving demonstrable business impact.

  • Role

    Title:

    Data Product Partner
  • Reporting To:
    Manager, Data Product Partner
  • Core Mandate:
    Be the primary data consultant, fixer, strategist, and relationship manager for a specific business domain (e.g. Customer Care, Finance, Marketing, Revenue, Spend & Control, Travel)
  • We are open to either Regular or Senior profiles
What You’ll Do Relationship Management and Strategy
  • Develop Business Data Strategy:
    Collaborate with business leaders to define how data can drive their strategic goals, solve critical challenges, and uncover new opportunities
  • Identify and Qualify Value:
    Proactively identify high-impact use cases and data initiatives that will generate maximum measurable value (e.g., revenue increase, cost reduction, efficiency gain) for the partner business unit
  • Act as the primary translator across all disciplines, explaining the same concept differently to different data team roles and executives
  • Proactively manage expectations and define the appropriate scope and flexible roadmaps
  • Develop Product Sense for Data, anticipating common data quality issues, recognising when simpler solutions are better, and strategically saying "no" to requests that compromise our aligned vision
  • Publicise and amplify the work that has been done to drive adoption of and learning from our solutions
  • Coach teams to be able to self serve their own preliminary investigations
Demand Shaping and Portfolio Management
  • Focus on defining what to build and why (Data Product Partner) rather than how (AE/ DA/ DE/ DS/ DG). Ensuring that we built the right thing - vs the Data Team Lead owning did we build the thing right
  • While the Data teams own the timeline estimates, the DPP defines the urgency, the required business target date and the prioritisation, which then influences how the Craft team approaches the estimate
  • Shape and Prioritise Demand:
    Work with business stakeholders to clarify their data needs, translating vague requests into well-defined, measurable projects and technical data requirements that can be handed over to the Data Teams
  • Manage the Business Unit's Data Portfolio:
    Oversee the pipeline of data projects, data products and initiatives relevant to their business unit, ensuring alignment with capacity and strategic priorities.…
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